What should I learn in SQL for data analysis?

Mastering SQL for Data Science in 7 Easy Steps Basics of Relational Databases First and foremost, as SQL is used to manage and query data in relational databases, knowing what a relational database is would be a good place to start. Overview of SQL. Selecting, inserting, and updating information.

Course Content

Getting Started

18m 54s

How to use LearnVern

3m 20s

SQL Datatypes

10m 5s

SQL Commands

21m 59s

What is DBMS

27m 51s

What is RDBMS

5m 23s

Database Relationships

11m 35s

Primary Key

6m 50s

Unique Key

3m 34s

Foreign Key

4m 2s

Difference between PK, UK and PK & FK

6m 6s

SQL Server Installation Step by Step

8m 2s

How to Create Database in SQL Server

13m 2s

Assignment : SQL Create Table

5m 5s

SQL Constraints

29m 1s

SQL Insert Statement and SQL Alias

28m 12s

Quiz : SQL Constraints & Alias

Filtering Data using Selection Command

31m 53s

Filtering Data using Comparison Operator

28m 52s

SQL Order by Clause

25m 56s

Assignment : Ordering and Filtering

26m 58s

Quiz : Selection Commands Ordering & Filtering

18m

Aggregate Functions in SQL for Data Analysis

22m 31s

SQL Mathematical Functions for Data Analysis

21m 31s

SQL String Functions for Data Analysis

15m 51s

SQL Date & Time Functions for Data Analysis

17m 20s

SQL Window Functions for Data Analysis

23m 34s

SQL Miscellaneous Functions

20m 10s

SQL Functions for Data Analytics - 1

38m 28s

SQL Functions for Data Analytics - 2

40m 5s

Rollup and NTile Function

26m 36s

Row Number Function

8m 3s

DenseRank and Cumulative Distribution

29m 12s

How to use SQL Conditional Statements

4m 22s

How to use SQL Group by Clause

4m 55s

SQL Practical with Examples

49m 46s

Assignment : SQL Date and Time

15m 16s

Quiz : SQL Functions

16m

Type of Joins in SQL - INNER, LEFT

21m 24s

Type of Joins in SQL - RIGHT,SELF,FULL, CARTESIAN

15m 14s

SQL Joins Practical Session 1

22m 17s

SQL Joins Practical Session 2

23m 29s

SQL Joins Practical Session 3

27m 43s

SQL Joins Practical Session 4

22m 26s

SQL Joins Practical Session 5

29m 41s

Assignment : SQL Joins

15m 5s

Assignment : SQL Functions 1

13m 25s

Assignment : SQL Functions 2

9m 25s

Quiz : SQL Join Functions

Practice: SQL Subqueries

26m 41s

Practice: SQL Subqueries & Unions

22m 29s

SQL Correlated Subqueries Part 1

20m 21s

SQL Correlated Subqueries Part 2

30m 51s

SQL Correlated Subqueries Part 3

30m 45s

SQL Correlated Subqueries Part 4

25m 7s

SQL Correlated Subqueries Part 5

19m 42s

Correlated Select, Update & Delete Queries

33m 15s

SQL Union

18m 3s

SQL EXCEPT & INTERSECT

14m 33s

Assignment : SQL SubQueries

30m 7s

Quiz : SQL Sub Queries

SQL Pivot, UnPivot Practical Example - 1

37m 28s

SQL Pivot, UnPivot Practical Example - 2

27m 40s

What are Views?

22m 19s

Examples of SQL Views Part -1

16m 41s

Examples of SQL Views Part -2

17m 47s

Assignment : SQL Views

10m 17s

Quiz : SQL Views

What is SQL Index?

13m 29s

SQL Index types

24m 50s

Quiz : SQL Indexes

Create Tables using Select Statement

41m 2s

Using Correlated Sub Query, Group By with Select Statement

40m 2s

Using Group By and Having Clauses with Select Statement

23m 32s

Using Index Optimizer with Select Statement

23m 24s

Using Union with Select Statement

35m 4s

Adding Multiple Records with Insert Statement

22m 42s

SQL Insert - Considerations and Best Practices

9m 19s

Insertion from Multiple Tables

22m 11s

SQL Delete - Types of Delete Operation Part -1

16m 41s

SQL Delete - Types of Delete Operation Part -2

11m 38s

Assignment : SQL Insert, Update & Delete

7m 24s

Quiz : Advanced SQL

12m

Loading & Connecting Different Files in SQL

11m 18s

Course Summary

9m 6s

Interview Questions Part 1

22m 2s

Interview Questions Part 2

20m 56s

Career Guideline

Course Summary

SQL For Data Analysis Course Summary

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Discussion

Course Content

Getting Started

18m 54s

How to use LearnVern

3m 20s

SQL Datatypes

10m 5s

SQL Commands

21m 59s

What is DBMS

27m 51s

What is RDBMS

5m 23s

Database Relationships

11m 35s

Primary Key

6m 50s

Unique Key

3m 34s

Foreign Key

4m 2s

Difference between PK, UK and PK & FK

6m 6s

SQL Server Installation Step by Step

8m 2s

How to Create Database in SQL Server

13m 2s

Assignment : SQL Create Table

5m 5s

SQL Constraints

29m 1s

SQL Insert Statement and SQL Alias

28m 12s

Filtering Data using Selection Command

31m 53s

Filtering Data using Comparison Operator

28m 52s

SQL Order by Clause

25m 56s

Assignment : Ordering and Filtering

26m 58s

Aggregate Functions in SQL for Data Analysis

22m 31s

SQL Mathematical Functions for Data Analysis

21m 31s

SQL String Functions for Data Analysis

15m 51s

SQL Date & Time Functions for Data Analysis

17m 20s

SQL Window Functions for Data Analysis

23m 34s

SQL Miscellaneous Functions

20m 10s

SQL Functions for Data Analytics - 1

38m 28s

SQL Functions for Data Analytics - 2

40m 5s

Rollup and NTile Function

26m 36s

Row Number Function

8m 3s

DenseRank and Cumulative Distribution

29m 12s

How to use SQL Conditional Statements

4m 22s

How to use SQL Group by Clause

4m 55s

SQL Practical with Examples

49m 46s

Assignment : SQL Date and Time

15m 16s

Type of Joins in SQL - INNER, LEFT

21m 24s

Type of Joins in SQL - RIGHT,SELF,FULL, CARTESIAN

15m 14s

SQL Joins Practical Session 1

22m 17s

SQL Joins Practical Session 2

23m 29s

SQL Joins Practical Session 3

27m 43s

SQL Joins Practical Session 4

22m 26s

SQL Joins Practical Session 5

29m 41s

Assignment : SQL Joins

15m 5s

Assignment : SQL Functions 1

13m 25s

Assignment : SQL Functions 2

9m 25s

Practice: SQL Subqueries

26m 41s

Practice: SQL Subqueries & Unions

22m 29s

SQL Correlated Subqueries Part 1

20m 21s

SQL Correlated Subqueries Part 2

30m 51s

SQL Correlated Subqueries Part 3

30m 45s

SQL Correlated Subqueries Part 4

25m 7s

SQL Correlated Subqueries Part 5

19m 42s

Correlated Select, Update & Delete Queries

33m 15s

SQL Union

18m 3s

SQL EXCEPT & INTERSECT

14m 33s

Assignment : SQL SubQueries

30m 7s

SQL Pivot, UnPivot Practical Example - 1

37m 28s

SQL Pivot, UnPivot Practical Example - 2

27m 40s

What are Views?

22m 19s

Examples of SQL Views Part -1

16m 41s

Examples of SQL Views Part -2

17m 47s

Assignment : SQL Views

10m 17s

What is SQL Index?

13m 29s

SQL Index types

24m 50s

Create Tables using Select Statement

41m 2s

Using Correlated Sub Query, Group By with Select Statement

40m 2s

Using Group By and Having Clauses with Select Statement

23m 32s

Using Index Optimizer with Select Statement

23m 24s

Using Union with Select Statement

35m 4s

Adding Multiple Records with Insert Statement

22m 42s

SQL Insert - Considerations and Best Practices

9m 19s

Insertion from Multiple Tables

22m 11s

SQL Delete - Types of Delete Operation Part -1

16m 41s

SQL Delete - Types of Delete Operation Part -2

11m 38s

Assignment : SQL Insert, Update & Delete

7m 24s

Loading & Connecting Different Files in SQL

11m 18s

Course Summary

9m 6s

Interview Questions Part 1

22m 2s

Interview Questions Part 2

20m 56s

Career Guideline

FAQs

Mastering SQL for Data Science in 7 Easy Steps

Basics of Relational Databases First and foremost, as SQL is used to manage and query
data in relational databases, knowing what a relational database is would be a good place to start.
Overview of SQL.
Selecting, inserting, and updating information.

SQL is widely used by engineers in software development, but it is also widely utilised by data analysts for a variety of reasons: It's simple to grasp and learn from a semantic standpoint. Analysts don't have to copy data into other programmes because it can access enormous amounts of data immediately where it's kept.

SQL is one of the most powerful tools for many data scientists because it is based on set theory. The following principles are far more significant than comprehending 'update' or 'insert': 1) Data Modeling - Understanding relational data models is foundational to both effective analysis and using SQL.

Knowing SQL is much more important if you're looking for your first career in data. SQL is the most in-demand talent for data analyst positions, with 57.4 percent of all data analyst jobs requiring it. SQL is listed in roughly 2.5 times as many "data analyst" job advertisements as Python and 1.5 times as many as R.

Most DBA jobs require more than just SQL knowledge. Established businesses want to hire someone with a computer science degree, industry experience and understanding, and suitable certifications. Companies prefer to hire people who have worked with the industry's version of SQL.